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Cut a 6-hour training recording into highlights

A training team used Claude Code with video-editing skills to transcribe a 6-hour live recording locally, find pauses and irrelevant parts, and build a Kdenlive project for manual touch-ups. · Nov 4, 2026

Done withCCClaude Code

What they did
Feng Yu added two skills to Claude Code: videocut-skills and cli-anything-kdenlive. He asked Claude to combine them without the paid Volcano Engine transcription API. Claude designed a local pipeline. It used faster-whisper to transcribe, applied the skill's rules to cut verbal slips and pauses, and wrote a Kdenlive project file. Feng fixed a bug in the Kdenlive CLI so the file would open. He then polished the cut by hand.
How it went
The 6-hour audio was transcribed and gave a rough cut, so the job dropped from about 3 days to a bit over 1. Many verbal slips and redundancies were left in, and the project had too many clips.
Worth knowing
The machine couldn't run faster-whisper large-v3. He used the small model at int8 and transcribed audio chunks in parallel. That cost some accuracy, which made the cut timings less precise.

Try it yourself with Claude Code

I have a long recording at [file path], about [length] long. Transcribe it locally, then find long pauses, off-topic stretches, and [other parts to cut, e.g. breaks or tech problems], and build a [Kdenlive or other editor] project with those parts cut so I can touch it up by hand. Keep the original file untouched and give me a list of every cut with timestamps; you are done when the project file opens cleanly.

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Read the original ↗

Source: dteam.top · Nov 4, 2026 · Submitted by from search gap: 视频

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